AI Models Learn to Think Smarter Not Harder, Radio Makes a Digital Comeback, and Scientists Design Better Medicine Through Math

Today's tech landscape shows how efficiency is reshaping our world, from AI systems learning to reason with fewer resources to radio stations finding new life in the digital age. As researchers develop more streamlined ways for artificial intelligence to think and communicate, these same principles of optimization are helping scientists revolutionize drug development, potentially bringing us closer to breakthrough treatments for conditions like diabetes and cancer. Links to all the papers we discussed: Token-Budget-Aware LLM Reasoning, Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search, How "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?, WavePulse: Real-time Content Analytics of Radio Livestreams, Video-Panda: Parameter-efficient Alignment for Encoder-free Video-Language Models, PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion

What is AI Papers Podcast?

A daily update on the latest AI Research Papers. We provide a high level overview of a handful of papers each day and will link all papers in the description for further reading. This podcast is created entirely with AI by PocketPod. Head over to https://pocketpod.app to learn more.